AI - Evaluation Quiz

The output given by the AI machine is known as ________

• Reality

• Prediction

_____________ is used to record the result of comparison between the prediction and reality.

• Table

• Observations

• Confusion Matrix

• Evaluation Matrix

Confusion Matrix is also known as __________________.

• Evaluation Matrix

• Confusion Table

• Observation Matrix

• Error Matrix

A machine that was supposed to predict an animal was always predicting not an animal. What is this condition called?

• False Positive

• True Positive

• False Negative

• True Negative

Which two evaluation methods are used to calculate F1 Score?

• Precision and Accuracy

• Precision and Recall

• Accuracy and Recall

• Precision, F1 score

___________ is the term used for the percentage of correct predictions out of all the observations.

• Precision

• Accuracy

• Recall

• F1 Score

What should be the value of F1 score if precision and recall both have 1 value?

• 3

• 0

• 2

• 1

If Precision value is LOW and Recall value is HIGH, then F1 Score Value will be _______.

• Low

• High

Evaluation is done using _____________ data.

• Training

• Testing

• Both Training and Testing

If Reality = Prediction = NO, then it is considered a case of:

• True Positive

• False Positive

• True Negative

• False Negative